_base_ = "../faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py"
model = dict(
    pretrained="open-mmlab://resnext101_32x4d",
    backbone=dict(
        type="ResNeXt",
        depth=101,
        groups=32,
        base_width=4,
        num_stages=4,
        out_indices=(0, 1, 2, 3),
        frozen_stages=1,
        norm_cfg=dict(type="BN", requires_grad=True),
        style="pytorch",
        dcn=dict(type="DCN", deform_groups=1, fallback_on_stride=False),
        stage_with_dcn=(False, True, True, True),
    ),
)
